Apr 26, 2024  
2021-2022 College Catalog and Student Handbook 
    
2021-2022 College Catalog and Student Handbook [ARCHIVED CATALOG]

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STAT 1040 - Statistics for Business Analytics


Academic Division: Liberal Arts
Academic Discipline: Mathematics
Course Coordinator: Sara Rollo
Assistant Dean: Dr. Steve Haynes
3 Credit(s)
Statistical inferences including estimation, confidence intervals, and tests of hypotheses for means, standard deviations, and proportions: analysis of variance; regression analysis; chi-square; business applications. Students will develop a basic competency in using a computer spreadsheet and/or the graphing calculator to perform statistical calculations.
Student Learning Outcomes for Course

Outcomes

Assessments – How it is met

& When it is met

Infer appropriate conclusions to tests of hypotheses for two samples by comparing means, proportions and variances including calculating the test statistics for z-tests, t-tests and F-tests.

Homework, chapter activity, chapter test and final exam

(Weeks 1, 2, 3, 16)

Demonstrate an understanding of how properly to design an experiment and when to conduct an analysis of variance (ANOVA).

Homework, discussion post, chapter test and final exam

(Weeks 4, 5, 6, 16)

Construct appropriate tables, determine probabilities using both one-way and two-way (contingency) tables, and calculate the test statistic for Chi-Square tests.

Homework, chapter activity, chapter test and final exam.  (Weeks 6, 7, 8, 16)

Calculate linear regression equations, coefficient of correlation and determination, and use the regression equation for estimation and prediction.

 

Homework, discussion post, chapter test and final exam. (Weeks 9, 10, 11, 12, 16)

Estimate parameters for multiple regression models and use said models to make predictions

Homework, chapter activity, and final exam. (Weeks 12, 13, 14, 15, 16)



Topics:
1. Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses

  1. Identifying the Target Parameter
  2. Comparing Two Population Means: Independent Sampling
  3. Comparing Two Population Means: Paired Difference Experiments
  4. Comparing Two Population Proportions: Independent Sampling
  5. Comparing Two Population Variances: Independent Sampling

2. Design of Experiments and Analysis of Variance (ANOVA)

  1. Element of a Designed Experiment
  2. The Completely Randomized Design: Single Factor
  3. Multiple Comparisons of Means
  4. Factorial Experiments: Two Factors

3. Categorical Data Analysis

  1. Categorical Data and the Multinomial Experiment
  2. Testing Category Probabilities: One-Way Table
  3. Testing Category Probabilities: Two-Way (Contingency) Table
  4. A Word of Caution About Chi-Square Tests

4. Simple Linear Regression

  1. Probabilistic Models
  2. Fitting the Model: The Least Squares Approach
  3. Model Assumptions
  4. Assessing the Utility of the Model: Making Inferences About the Slope
  5. The Coefficients of Correlation and Determination
  6. Using the Model for Estimation and Prediction

5. Multiple Regression and Model Building

  1. Multiple Regression Models
  2. Estimating and Making Inferences About the  Parameters
  3. Evaluating Overall Model Utility
  4. Using the Model for Estimation and Prediction
  5. Qualitative (Dummy) Variable Models
  6. Models with Both Quantitative and Qualitative Variables
  7. Residual Analysis: Checking the Regression Assumptions

Week  Activities and Assignments (Using number and letter from topics listed above)

1. Syllabus, Topic 1 media assignment, Cover topics 1.a, 1.b, Complete homework

2. Cover topics 1.c and 1.d, Complete homework, Complete Activity 8.1

3. Cover topic 1.e, Complete study plan for topic 1, Complete topic 1 Test

4. Topic 2 media assignment, Cover topics 2.a, 2.b, Complete homework

5. Cover topics 2.c and 2.d, Complete study plan for topic 2, Chapter 9 Statistics in Action discussion post

6. Complete topic 2 test, Complete topic 3 media assignment, Cover topic 3.a, Complete homework

7. Cover topics 3.b and 3.c, Complete homework, Complete activity 10.1

8. Cover topic 3.d, Complete homework, Complete study plan for topic 3, Complete topic 3 test

9. Topic 4 media assignment, Cover topics 4.a, 4.b, Compete homework

10. Cover topics 4.c, 4.d, Complete homework, Chapter 11 Statistics in Action discussion post

11. Cover topics 4.e and 4.f, Complete homework, Complete study plan for topic 4

12. Complete topic 4 test, Topic 5 media assignment, Cover topic 5.a, Complete homework

13. Cover topics 5.b and 5.c, Complete homework

14. Cover topics 5.d and 5.e, Complete homework

15. Cover topic 5.g, Complete homework, Complete study plan for topic 5, Complete activity 12.1

16. Review for final exam and comprehensive final exam

 

 
Assignments:
Course Assignments: *NOTE* Please utilize the “using technology” at the end of each chapter as it shows the processes for Excel and for the TI-83/84 Graphing Calculator  

 

  1. Homework
  2. Media Assignment – to be completed through online component outside of class time
  3. Study Plan – to be completed through online component and required to complete before each test outside of class time
  4. Chapter Activity – Located at the end of the indicated chapter. For example, activity 8.1, is at the end of chapter 8
  5. Statistics in Action Discussion Post (at the beginning of the indicated chapter) – Form groups of 3 or 4 students. Each student will write two (2) questions for the other group members to answer. Then each of the other group members will answer one of the two questions. The question writer will respond to each of the other students’ answers indicating if the student is correct or providing an explanation for the student’s answer. Each student is graded on the two questions they formulate and the response they provide to the students’ answers of their questions. Students are not being graded on the answer they provide to the question writer. At any point during the discussion, please reach out to the instructor with any questions.
  6. Chapter Tests
  7. Comprehensive Final Exam

Standard Grading Scale
Standard Grading Scale

93-100      A

90 - 92      A-

87- 89       B+

83 - 86      B

80 -82       B-

77- 79       C+

73 - 76      C

70 -72       C-

67- 69       D+

63 - 66      D

60 -62       D-

00- 59       F


Statement on Diversity
NC State College believes that every student is a valued and equal member of the community.*  Every student brings different experiences to the College, and all are important in enriching academic life and developing greater understanding and appreciation of one another. Therefore, NC State College creates an inclusive culture in which students feel comfortable sharing their experiences. Discrimination and prejudice have no place on the campus, and the College takes any complaint in this regard seriously. Students encountering aspects of the instruction that result in barriers to their sense of being included and respected should contact the instructor, assistant dean, or dean without fear of reprisal.

*Inclusive of race, color, religion, gender, gender identity or expression, national origin (ancestry), military status (past, present or future), disability, age (40 years or older), status as a parent during pregnancy and immediately after the birth of a child, status as a parent of a young child, status as a foster parent, genetic information, or sexual orientation.


Standard NCSC Course Policies
https://ncstatecollege.edu/documents/Academics/AcadSvcs/CurriculumWkshts/CURRICULUM/SYLLABUS%20SUPPLEMENT.pdf

TEXTBOOK INFORMATION
Textbook: Statistics for Business and Economics, Author: James McClave, Paul Benson and Terry Sincich, Copyright Year: 2020, Edition: 13th,  ISBN: 9780135901526 (18 week access, standalone code)

Workbook(s) and/or Lab Manual:   Supplies:  A TI-84/83 Calculator and access to Excel is required

 




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